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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 77.90%
Members: 33 active members (74 total)
Avg. Member Points: 11,237
Total Kills: 379,237
Total Deaths: 308,475
Avg. Kills: 11,492
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 405d 14:35:40h
Avg. Connection Time: 12d 06:59:15h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,965 46d 18:15:30h 68,825 18.15% 31,321 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.84% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.57% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.58% 16,883 1.93
5  Ukrainegusenica elorank 16,540 8d 07:06:19h 8,372 2.21% 6,594 1.27
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.05% 10,412 1.11
7  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.08% 12,180 1.58
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.13% 3,263 1.31
9  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.08% 38,583 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.82% 1,465 2.12
11  Russian federationИлья190RUS elorank 12,472 3d 12:46:10h 3,719 0.98% 3,192 1.17
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.63% 15,207 1.15
13  Russian federationStanislav752 elorank 10,708 14d 19:17:59h 12,254 3.23% 11,638 1.05
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.66% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.20% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.86% 3,410 0.95
17  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.17% 5,021 0.89
18  Russian federationShalfeYka elorank 9,799 1d 19:38:39h 1,586 0.42% 1,599 0.99
19  Russian federationYota ʚɞ elorank 9,712 2d 12:31:40h 1,472 0.39% 1,952 0.75
20  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.26% 22,106 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 28,540 times 28,540
2 Pick up the Bomb 25,240 times 50,480
3 Round MVP 17,622 times 0
4 Drop the Bomb 13,733 times -27466
5 Double Kill (2 kills) 10,890 times 10,890
6 Plant the Bomb 5,639 times 56,390
7 Domination 3,451 times 17,255
8 Triple Kill (3 kills) 2,719 times 5,438
9 Revenge 1,723 times 5,169
10 Start Defusing the Bomb With a Defuse Kit 676 times 0
11 Domination (4 kills) 491 times 1,473
12 Defuse the Bomb 462 times 4,620
13 Start Defusing the Bomb Without a Defuse Kit 59 times 0
14 Rampage (5 kills) 52 times 208
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 2 times 10
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-ascending.gif Points Bonus
1 Revenge 2,044 times -6132
2 Domination 2,787 times -13935




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,331 times 28.72%
2 Counter-Terrorist 2,350 times 20.26%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots sort-descending.gif Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 21,962 5.79% 10,944 7.65% 0.50
2 Colt M4A1 Carbine 1.00 11,274 2.97% 4,960 3.47% 0.44
3 Steyr Scout 1.10 6,263 1.65% 3,693 2.58% 0.59
4 Desert Eagle .50AE 1.20 5,927 1.56% 3,106 2.17% 0.52
5 M249 PARA Light Machine Gun 1.20 2,033 0.54% 1,016 0.71% 0.50
6 FN P90 1.20 1,471 0.39% 652 0.46% 0.44
7 Sig Sauer P-228 1.50 1,258 0.33% 515 0.36% 0.41
8 Sig Sauer SG-552 Commando 1.00 1,040 0.27% 465 0.33% 0.45
9 Arctic Warfare Magnum (Police) 1.00 2,775 0.73% 436 0.30% 0.16
10 Benelli M3 Super 90 Combat 1.20 800 0.21% 319 0.22% 0.40
11 Dual Beretta 96G Elite 1.40 189 0.05% 90 0.06% 0.48
12 H&K USP .45 Tactical 1.40 149 0.04% 74 0.05% 0.50
13 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
14 Glock 18 Select Fire 1.40 113 0.03% 53 0.04% 0.47
15 Galil 1.10 124 0.03% 52 0.04% 0.42
16 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
17 Steyr Aug 1.00 73 0.02% 34 0.02% 0.47
18 Steyr Tactical Machine Pistol 1.50 53 0.01% 30 0.02% 0.57
19 Benelli/H&K M4 Super 90 XM1014 1.10 78 0.02% 28 0.02% 0.36
20 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
21 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
22 Fusil Automatique 1.00 29 0.01% 12 0.01% 0.41
23 Bundeswehr Advanced Combat Knife 2.00 1,497 0.39% 2 0.00% 0.00
24 High Explosive Grenade 1.80 2,395 0.63% 0 0.00% 0.00
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 648,637 81,150 3,257,156 12,264 23,630 9.9327 12.5% 40.1 27.4
2 Colt M4A1 Carbine 414,378 50,407 1,583,219 4,968 11,285 10.7068 12.2% 31.4 36.7
3 Steyr Scout 51,328 15,340 1,465,246 3,753 6,372 2.6451 29.9% 95.5 8.1
4 Desert Eagle .50AE 65,072 17,235 902,454 3,432 6,310 4.4157 26.5% 52.4 10.3
5 Arctic Warfare Magnum (Police) 11,608 3,974 529,836 443 2,783 5.4569 34.2% 133.3 4.2
6 M249 PARA Light Machine Gun 106,753 8,019 308,131 1,130 2,182 13.8101 7.5% 38.4 48.9
7 FN P90 74,742 8,435 196,899 652 1,471 9.7417 11.3% 23.3 50.8
8 Sig Sauer P-228 31,571 5,176 160,131 515 1,258 22.4643 16.4% 30.9 25.1
9 Sig Sauer SG-552 Commando 76,212 5,272 154,025 478 1,056 42.2400 6.9% 29.2 72.2
10 Benelli M3 Super 90 Combat 3,541 7,167 102,494 319 800 2.3599 202.4% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 21,631 1,292 66,942 2 447 1.6137 6.0% 51.8 48.4
12 Dual Beretta 96G Elite 4,814 929 26,008 90 189 63.0000 19.3% 28.0 25.5
13 H&K USP .45 Tactical 5,365 980 20,566 73 148 7.7895 18.3% 21.0 36.3
14 Galil 3,693 530 17,452 52 124 62.0000 14.4% 32.9 29.8
15 Ingram MAC-10 5,173 864 15,804 60 119 29.7500 16.7% 18.3 43.5
16 Glock 18 Select Fire 5,450 993 17,053 52 111 7.4000 18.2% 17.2 49.1
17 H&K MP5-Navy 4,812 855 14,170 41 98 10.8889 17.8% 16.6 49.1
18 Benelli/H&K M4 Super 90 XM1014 1,436 986 11,456 28 78 15.6000 68.7% 11.6 18.4
19 Steyr Aug 2,777 378 11,399 34 73 14.6000 13.6% 30.2 38.0
20 FN Five-Seven 1,341 371 9,929 37 69 34.5000 27.7% 26.8 19.4
21 Steyr Tactical Machine Pistol 3,391 452 8,135 30 53 53.0000 13.3% 18.0 64.0
22 H&K UMP45 2,041 270 5,449 16 34 17.0000 13.2% 20.2 60.0
23 Fusil Automatique 780 147 4,388 11 27 27.0000 18.8% 29.9 28.9
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
25 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 81,150 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 50,407 28.0% 58.7% 13.3%
3 Desert Eagle .50AE 17,235 25.9% 61.5% 12.6%
4 Steyr Scout 15,315 26.4% 64.9% 8.7%
5 FN P90 8,435 28.1% 56.2% 15.7%
6 M249 PARA Light Machine Gun 8,019 28.0% 57.9% 14.0%
7 Benelli M3 Super 90 Combat 7,167 29.1% 57.9% 13.1%
8 Sig Sauer SG-552 Commando 5,272 28.7% 56.1% 15.2%
9 Sig Sauer P-228 5,176 29.1% 57.0% 13.9%
10 Arctic Warfare Magnum (Police) 3,974 32.6% 57.5% 9.9%
11 Glock 18 Select Fire 993 26.2% 61.3% 12.5%
12 Benelli/H&K M4 Super 90 XM1014 986 27.2% 56.3% 16.5%
13 H&K USP .45 Tactical 980 23.9% 62.8% 13.4%
14 Dual Beretta 96G Elite 929 24.5% 61.5% 14.0%
15 Ingram MAC-10 864 26.7% 58.9% 14.4%
16 H&K MP5-Navy 855 29.4% 56.3% 14.4%
17 Galil 530 28.1% 55.5% 16.4%
18 Steyr Tactical Machine Pistol 452 26.8% 62.8% 10.4%
19 Steyr Aug 378 28.3% 55.8% 15.9%
20 FN Five-Seven 371 20.5% 65.8% 13.7%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 147 21.1% 61.9% 17.0%
23 Bundeswehr Advanced Combat Knife 62 24.2% 71.0% 4.8%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
25 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%


Targets
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ERROR
Database Error

Server Address: localhost
Server Username: hlstatsxce

Error Diagnostic:
Bad query.

Server Error: (1052) Column 'map' in order clause is ambiguous

Last SQL Query:
		SELECT *, 
			IFNULL(kills/deaths, '-') AS kpd,
			IFNULL(headshots / kills, '-') AS hpk,
			ROUND(kills / 379237 * 100, 2) AS kpercent,
			ROUND(headshots / 143008 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map desc,
			kills desc